Senior Analytics Engineer, Enterprise Analytics & Advisory

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

What you’ll be doing

As a Senior Analytics Engineer, you will be a key member of the Enterprise Analytics and Advisory team, working with business partners and stakeholders from various Strategic Business Units (SBUs) and Functional Groups (FGs) to provide expertise in analytics, secured data access, and visualizations in support of strategic projects. You will provide day-to-day leadership to the team and business partners, support Google Cloud Platform (GCP) and other analytics solution development, and manage escalations and priorities. This role will also be responsible for the continuous optimization of processes to drive greater automation and effectiveness.

At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

How you’ll succeed

• Transformational Delivery – Lead the design, development, and implementation of enterprise analytics solutions on Google Cloud Platform (GCP), leveraging tools such as BigQuery, Vertex AI, and Agentic AI environments. Deliver comprehensive analytics solutions that support both project and business partners, ensuring alignment with organizational goals. Provide expert guidance and consultation to technology and business stakeholders to drive transformational change and maximize the impact of analytics initiatives.
• Support Data and Analytics Initiatives – Design and build end-to-end analytics and AI solutions including data modeling, orchestration and pipeline services, data visualization, and ML models utilizing various tools and cloud technologies (Power BI, Databricks, Alteryx, Azure, and GCP). Consult and upskill wider data teams and stakeholders on tools within the semantic layer to promote self-service.
• Continuous Improvement – Identify opportunities to automate and streamline processes, driving efficiency in data reporting and analytical environments, reducing manual intervention, and increasing end-user effectiveness. Represent the Enterprise Analytics Hub and consult on a wide range of enterprise initiatives related to analytics and AI, ensuring recommendations are effective, efficient, and aligned with long-term business objectives.
• Leadership – Provide leadership in designing data enablement rollout strategies by liaising with various lines of business, analytical groups, technology, and change management. Lead and partner with cross-functional groups to foster a BI/analytics research and innovation culture.
• Analytics/AI Enablement Strategy – Partner with Spoke Analytics teams, Enterprise Data Technology, Enterprise Architecture, and Information Security to foster secure analytics and AI consumption.
• Relationship Management – Build strong relationships with internal and external partners, working collaboratively to understand their data and analytical needs.

Who you are

• You can demonstrate 5+ years of hands-on experience. You have developed and supported analytics engineering, AI, and cloud-based analytics solutions. Strong experience with Google Cloud Platform (GCP), including BigQuery and Vertex AI, is highly preferred. You also have practical experience with analytics engineering, AI, big data, Databricks, Power BI, Alteryx, T-SQL, and Python.
• Your influence makes a difference. You have strong presentation, interactive, and analytical skills that enable you to communicate both factual and conceptual information clearly. Your business analysis and consulting abilities allow you to accurately understand and articulate business challenges and goals, supporting interpretation, analysis, assessment, and effective implementation.
• You’re goal oriented. You’re motivated by achieving meaningful outcomes and consistently delivering your best work to make a positive impact. You thrive as an innovator, creator, collaborator, and leader, embracing the challenge of building the bank of the future and developing solutions that support our clients’ evolving needs.
• You give meaning to data. You enjoy investigating complex problems and making sense of information, understanding internal banking processes and how they translate into data outputs.
• Values matter to you. You bring your real self to work, and you live our values – trust, teamwork, and accountability.

#LI-TA

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

• We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

• Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

• We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions

What you need to know

• CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

• CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.

• You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

• We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).

• We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location

Toronto-81 Bay, 22nd Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

AI Enablement, Google Cloud Platform (GCP), Microsoft Power Business Intelligence (BI) Deployment, Python (Programming Language), Python for Data Analysis, Vertex AI